Definition

Legacy Mainframe Data

Structured data housed in IBM mainframe systems that predate cloud infrastructure and modern data formats. Mainframes are still used by 75% of Fortune 500 companies for mission-critical operations including banking transactions, insurance records, and government benefit systems. The data they store is often accurate and well-structured but entirely siloed - incompatible with cloud APIs, inaccessible to modern AI systems, and unable to communicate with newer cloud data stores without explicit migration or transformation. The US government spends $80 billion per year maintaining legacy mainframe infrastructure that could theoretically be migrated. David Carmel cites the total annual cost of legacy data technical debt in the US at $1.52 trillion per year.

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